Solutions Engineer

🕒 il y a 22 jours

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

💻 Ingénieur Solutions

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Overstory

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

⚡ Énergie

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Overstory est une entreprise qui fournit des renseignements exploitables sur la végétation aux services de distribution d'électricité pour une gestion de l'énergie plus sûre et plus fiable. Leur logiciel aide les services publics à optimiser les ressources, à atténuer les risques liés à la végétation et à garantir la pérennité de leurs programmes opérationnels en permettant une gestion des infrastructures plus intelligente et basée sur les données. Overstory utilise des technologies et des analyses avancées pour assister la gestion de la végétation, un facteur majeur des pannes de courant et des incendies de forêt. Ils collaborent avec les services publics pour développer des solutions qui s'intègrent parfaitement aux flux de travail existants.

Description

• On a typical day, you might be: running satellite imagery through a pipeline and validating the output; debugging a geospatial join in Python; reviewing a draft analysis with a Customer Success Manager before it goes to a customer; talking with a utility vegetation manager to walk through findings and adjust based on what you hear; refactoring a notebook into a reusable script for the team; or sketching out how a recurring customer ask could become a product feature. • Ensure our customers get the most possible value out of Overstory through technical and analytical work • Own customer projects end-to-end, from data requests and processing through analysis to customer-ready outputs, in close partnership with Customer Success. • Work with large geospatial datasets (vector and raster) from Overstory's platform, customers, and third-party sources — process, validate, analyze, and turn them into outputs customers can act on. • Build rapport with customer counterparts. Translate technical findings into recommendations that change decisions and lead to better outcomes for our customers. • Build the technical foundations for what we productize next • Identify patterns across customer work that are worth standardizing and productizing. Convert one-off projects into repeatable artifacts. • Strengthen engineering quality so analytical work is easier to validate, hand off, and scale. • Partner with product and engineering to build the productization roadmap. • Strengthen the analytics workflows and infrastructure that support both customer impact and future productization.

🎯 Exigences

• 2–4 years of professional experience working with large, complex geospatial datasets in a customer- or stakeholder-facing capacity. • Proficiency with a Python-driven analytical and engineering stack — Python, Jupyter, git/GitHub, and command-line workflows. • Experience successfully managing multiple projects simultaneously. • Demonstrated attention to detail and care with data. • Demonstrable experience (or at a minimum a serious interest in) leveraging AI tooling to amplify your work. • Proven ability to solve ambiguous problems and collaborate effectively with stakeholders. • Excellent communication, including translating technical findings for non-technical audiences and building rapport with customer counterparts. • Passionate about tackling climate challenges with data-driven solutions.

🏖️ Avantages

• We gather once a year in-person for our unforgettable team gathering event. • We also offer the option to occasionally meet up for in-person collaboration.